Variants of dynamic link architecture based on mathematical morphology for frontal face authentication

Two novel variants of dynamic link architecture that are based on mathematical morphology and incorporate coefficients which weigh the contribution of each node in elastic graph matching according to its discriminatory power are developed. They are the so called Morphological Dynamic Link Architecture and the Morphological Signal Decomposition-Dynamic Lint Architecture. The proposed variants are tested for face authentication in a cooperative scenario where the candidates claim an identity to be checked. Their performance is evaluated in terms of their receiver operating characteristic and the equal error rate achieved in M2VTS database. An equal error rate in the range 3.7-6.8% is reported.

[1]  Rama Chellappa,et al.  Discriminant Analysis for Recognition of Human Face Images (Invited Paper) , 1997, AVBPA.

[2]  Rama Chellappa,et al.  Human and machine recognition of faces: a survey , 1995, Proc. IEEE.

[3]  Luc Vandendorpe,et al.  The M2VTS Multimodal Face Database (Release 1.00) , 1997, AVBPA.

[4]  Rama Chellappa,et al.  A feature based approach to face recognition , 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[5]  M. Turk,et al.  Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.

[6]  Stefan Fischer,et al.  Face authentication with Gabor information on deformable graphs , 1999, IEEE Trans. Image Process..

[7]  Ioannis Pitas,et al.  Face authentication based on morphological grid matching , 1997, Proceedings of International Conference on Image Processing.

[8]  Robert J. Schalkoff,et al.  Pattern recognition - statistical, structural and neural approaches , 1991 .

[9]  Mohamed A. Deriche,et al.  Scale-Space Properties of the Multiscale Morphological Dilation-Erosion , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[10]  Bir Bhanu,et al.  Gabor wavelet representation for 3-D object recognition , 1997, IEEE Trans. Image Process..

[11]  Joachim M. Buhmann,et al.  Distortion Invariant Object Recognition in the Dynamic Link Architecture , 1993, IEEE Trans. Computers.

[12]  Ioannis Pitas,et al.  Rule-based face detection in frontal views , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[13]  Laurenz Wiskott,et al.  Phantom faces for face analysis , 1997, Proceedings of International Conference on Image Processing.

[14]  Norbert Krüger,et al.  An Algorithm for the Learning of Weights in Discrimination Functions Using a Priori Constraints , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[15]  Juyang Weng,et al.  Using Discriminant Eigenfeatures for Image Retrieval , 1996, IEEE Trans. Pattern Anal. Mach. Intell..